Shubham K.

AI Researcher

Bengaluru, Karnataka, India9 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led data science team at RapidCanvas.
Developed AI platforms for rapid deployment.
Created innovative solutions in real estate AI.

Stackforce AI infers this person is a SaaS-focused data scientist with expertise in machine learning and customer engagement.

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Skills

Core Skills

Machine LearningData EngineeringCustomer Engagement

Other Skills

AlgorithmsApache SparkAutoMLCC++Chatbot DevelopmentComparative Market AnalysisComputer VisionData MiningData StructuresDeep LearningHTMLJavaJavaScriptLaTeX

About

At RapidCanvas, our team develops cutting-edge AI platforms enabling businesses to transform raw data into actionable machine learning applications across diverse industries. With over two years of experience, I have contributed to building agentic workflows for data engineering/science, advanced RAG solutions integrated with customer data, and speech-to-speech systems tailored to domain-specific use cases. These innovations empower organizations to achieve rapid deployment of scalable AI-driven solutions. Previously, at Compass, I played a key role in enhancing real estate operations through AI-driven tools, including similarity-based recommendation systems and chatbot solutions for agents. My work emphasizes collaboration, technical excellence, and a focus on delivering impactful results in customer engagement and AI-powered automation.

Experience

Rapidcanvas

Senior Data Scientist

Mar 2023 – Present · 3 yrs · Remote

Leading APAC data science team
Building AI Platform for DS/Business Users to go from raw data into ML
applications in few days only, which may belong to multiple industries.
Building Agentic workflow to build Data Wrangling, Data Engineering, Feature
Engineering, Model Building using AutoML, SQL Agent using langgraph with
langchain to build any ML model with dynamic features generation.
Building advanced RAG solution which can be connected to customer data
without exposing data to third party LLMs
Building end to end speech to speech system using agentic flow which can be used in any domain use cases like customer service etc.
Created multiple ML solutions across various sectors such as Fintech, Renewable Energy, E-commerce, Manufacturing etc.

Data EngineeringMachine LearningAutoMLSQLSpeech-to-Speech SystemsRAG Solutions

Compass

Machine Learning Engineer II

Aug 2021 – Jan 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

CMA (Comparative Market Analysis) : CMA is used by real estate agents to sell homes for their clients. Using CMA, they can find listing price based on the closing price of nearby and similar homes. Worked on the problem of finding similar homes using CMA segment events data with the help of
Siamese network.
Worked on similarity-X (Similar Homes, Similar Agent) recommendation system
Currently working on Agent Feed and Chatbot(CompassBot) exclusively for Real Estate Agents to solve their day-to-day queries (to find referral agents/reverse prospecting/Listing Search etc.)
(Part of Search-AI Recommendation Org)

Comparative Market AnalysisSiamese NetworkRecommendation SystemsChatbot DevelopmentMachine LearningCustomer Engagement

Leoforce

3 roles

Lead Data Scientist

Apr 2021 – Aug 2021 · 4 mos

Building world’s first and foremost AI recruiting service | Delivering qualified and interested candidates from multiple sources, straight to you !

Customer Engagement

Senior Data Scientist

Promoted

Apr 2019 – Mar 2021 · 1 yr 11 mos

Understand Job with respect to their occupation, industry context.
Implemented and designed as Resume Parser (to parse & understand candidate in better context)
Deployed Machine Translation models with multiple language pairs using Docker + Kubernetes to translate Job + Candidate Details

Data Scientist

Aug 2016 – Mar 2019 · 2 yrs 7 mos

Machine Learning (Deep Learning) for NLP, Computer Vision & Text
[Recommendation Systems ; Data Mining ; Information Retrieval]
Recommend best profiles for any type of Job (Word / Sentence Embeddings, ElasticSearch, CNN Text Classification)